qingzhu0214's Stars
ugwun/lanchain4j-contentretriever
This is a tutorial on how to implement LangChain4J ContentRetriever in a Spring Boot application. Concepts in this tutorial can be applied to any kind of RAG paradigm.
mydeveloperplanet/myweaviateplanet
SeasonPanPan/minimybatis
手写迷你mybatis框架,里面使用了mybatis设计模式和框架
CrazyHZM/dubbo
Apache Dubbo (incubating) is a high-performance, java based, open source RPC framework.
RedSpider1/concurrent
这是RedSpider社区成员原创与维护的Java多线程系列文章。
Lutetium-Vanadium/Music-Vue
A music player written in electron and vue
qier222/YesPlayMusic
高颜值的第三方网易云播放器,支持 Windows / macOS / Linux :electron:
SmallRuralDog/vue3-music
VUE3+TS 开发的音乐播放器,界面模仿QQ音乐mac客户端,支持黑夜模式
maotoumao/MusicFree
插件化、定制化、无广告的免费音乐播放器
dun198/SwiftAudioPlayer
[WIP] Simple music player for macOS written in Swift
PPPHUANG/rpc-spring-starter
基于Netty的Rpc-SpringBoot-Starter
Snailclimb/guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
Matrix6677/EasyRpc
EasyRpc is a simple, high-performance, easy-to-use RPC framework based on Netty, ZooKeeper and ProtoStuff.
chenchuxin/ccx-rpc
基于 Netty + Zookeeper + Protostuff 的简易 RPC 框架
takuseno/d3rlpy
An offline deep reinforcement learning library
sfujim/BCQ
Author's PyTorch implementation of BCQ for continuous and discrete actions
aviralkumar2907/BEAR
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
tinkoff-ai/CORL
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
bsaiashish/Deep-Convolutional-Q-Network-for-Atari-Breakout
A reimplementation of the famous Google DeepMind paper on Deep Reinforcement Learning
dsbrown1331/CoRL2019-DREX
Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations" presented at CoRL 2019.
CORE-Robotics-Lab/SSRR
Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
luo3300612/Visualizer
assistant tools for attention visualization in deep learning
KasperGroesLudvigsen/influenza_transformer
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
mlpotter/Transformer_Time_Series
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
papkov/DecisionTreeToCpp
Export sklearn decision tree as C++ function
thomashirtz/gym-platform
OpenAI Gym environment wrapper for the Platform game.
thomashirtz/gym-hybrid
Collection of OpenAI parametrized action-space environments.
cycraig/MP-DQN
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"